{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Report - 报告题目\n",
    "\n",
    "* 姓名：刘晓冉\n",
    "* 学号：2021300706\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 任务简介\n",
    "\n",
    "拼图游戏是广受欢迎的一种智力游戏，它的变化多端，难度不一。拼图游戏也有置换不变性，不管拼图的顺序是什么，输出总是固定的。下面是一个2x2的网格难题的例子，这个项目中我将尝试使用cnn解决这个问题，这个项目最大的难度在于如何让神经网络学习出置换不变性。\n",
    "<div> \n",
    "<img src=\"attachment:image.png\" width=\"40%\" align=\"left\">\n",
    "</div> \n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 解决途径  \n",
    "## 一、对问题的分析与思考  \n",
    "**1、问题分析**\n",
    "对于这样一个拼图问题 $2\\times 2$的图片具有24种组合方式。拼图的置换不变性可以用下述这样的函数进行描述：$f(x,y,z)=xyz$ 无论输入的值顺序如何最终的值是一样的，就好比所有拼图的乱序状态都指向了一个结果，我们希望可以通过卷积神经网络提取出这种映射关系。  \n",
    "**2、问题细化**  \n",
    "使用cnn解决拼图问题的重点在于如何更好的提取出每个图片的局部特征，顺着这个思路就会发现在提取特征时一定注意保留拼图的边缘特征，因此要减少使用池化层，池化层会降低图片的几何特征影响（translation invariance）。此处这正与我们需要达到的目标相反。"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 二、模型的构建过程  \n",
    "### 1、数据的处理  \n",
    "**Normalize：** 这里的数据处理从两方面分析，首先是数据的预处理，对于图像规范化处理，图像规范化是将数据通过去均值实现中心化的处理，根据凸优化理论与数据概率分布相关知识，数据中心化符合数据分布规律，更容易取得训练之后的泛化效果, 数据标准化是数据预处理的常见方法之一。规范化的公式表达如下：  \n",
    "$img = \\frac{x-\\mu}{std}  \n",
    "std=max(\\sigma,\\frac{1.0}{\\sqrt{N}})$  \n",
    "其中N为图像像素数量，σ为标准方差,μ为图像均值  \n",
    "**读取：** 对于图片的读取我采用了RGB格式的读入，因为RGB可以更完整的保存下图像的信息，这些颜色信息对于后面学习拼图的结合关系很有帮助！\n",
    "这里我做了两个测试，即对比规范化应用的位置，第一次尝试是在图片读入后直接进行规范化，随后对图片进行切割；第二次尝试是在图片分块后再进行规范化。下图中展示的是torch官网上的对于该文档的说明：  \n",
    "<div> \n",
    "<img src=\"attachment:image.png\" width=\"50%\" align=\"left\">\n",
    "</div> \n",
    "\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2、网络结构设计\n",
    "解决这个问题的网络结构要比数独问题复杂一些，首先我的输入是一个$(Batch\\times 4\\times channels\\times H\\times W )$ 其中$H=100,W=100$的图像，先对图像进行reshape 合并第0维和第1维，然后让图像经过4个卷积层，随后将图像第一维展平（flatten）随后接入全连接层，输出为 $batch size \\times 4$的一个向量，与标签进行对应。原始标签为$batch size \\times 4$的向量，需要经过reshape变成$batch size \\times 1$的向量分别对应四小块图片。使用交叉熵损失函数（CrossentrophyLoss）进行优化。  \n",
    "<div> \n",
    "<img src=\"attachment:image.png\" width=\"40%\" align=\"left\">\n",
    "</div> \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在进行多次测试后我选定了$tfs.Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225))$作为规范化参数，并且采用分块规范化的方法。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 三、代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import torch,gc\n",
    "from torch import nn\n",
    "from torch.autograd import Variable\n",
    "import torch.nn.functional as F\n",
    "from PIL import Image\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from torchvision import transforms as tfs\n",
    "from torch.utils.data import Dataset, DataLoader\n",
    "import os\n",
    "from tqdm import notebook\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "编写函数将读入的图片分为四块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "transform1 = tfs.Compose([tfs.ToTensor()])\n",
    "# 注意此处ToTensor后就已经进行了一次归一化处理，后面的规范化的参数采用经验参数\n",
    "transform2 = tfs.Compose([tfs.Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225))])\n",
    "def cut(x):\n",
    "    x0 = x[ :, 0:100, 0:100]\n",
    "    x0 = transform2(x0)\n",
    "    x0 = x0.unsqueeze(0)\n",
    "    x1 = x[ :, 100:200, 0:100]\n",
    "    x1 = transform2(x1)\n",
    "    x1 = x1.unsqueeze(0)\n",
    "    x2 = x[ :, 0:100, 100:200]\n",
    "    x2 = transform2(x2)\n",
    "    x2 = x2.unsqueeze(0)\n",
    "    x3 = x[ :, 100:200, 100:200]\n",
    "    x3 = transform2(x3)\n",
    "    x3 = x3.unsqueeze(0)\n",
    "    x = torch.cat([x0, x1, x2, x3],dim=0 )\n",
    "    return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 获取对应文件夹中所有照片的文件名\n",
    "imagelist = os.listdir('data\\\\puzzle_2x2\\\\test\\\\')\n",
    "num=9000\n",
    "#读入num张图片储存在Img tensor 里 \n",
    "Img=torch.FloatTensor(num,4,3,100,100)\n",
    "Img_test = torch.FloatTensor(1000,4,3,100,100)\n",
    "# 创建Labels存储位置向量\n",
    "Labels=torch.LongTensor(num,4)\n",
    "Labels_test=torch.LongTensor(1000,4)\n",
    "label = pd.read_csv('E:\\jupyter\\\\homework\\\\homework_report_jigsaw_puzzle\\\\data\\\\puzzle_2x2\\\\train.csv',header=0).iloc[:num,2]\n",
    "label2 = pd.read_csv('E:\\jupyter\\\\homework\\\\homework_report_jigsaw_puzzle\\\\data\\\\puzzle_2x2\\\\train.csv',header=0).iloc[10000:11000,2]\n",
    "#数据预处理进行归一标准化，并转化为tensor\n",
    "\n",
    "# 将图片数据批量读入，这里会占用较大内存\n",
    "rootdir = 'data\\\\puzzle_2x2\\\\test\\\\'\n",
    "for i in range(num):\n",
    "    # 以RGB格式读入图片\n",
    "    img = Image.open(rootdir+imagelist[i]).convert(\"RGB\")\n",
    "    # 对图片进行基本的处理\n",
    "    img = transform1(img)\n",
    "    img = transform2(img)\n",
    "    Img[i]=cut(img)\n",
    "    Labels[i]=torch.LongTensor(list(map(int,label[i].split())))\n",
    "    \n",
    "for i in range(10000,11000):\n",
    "    # 以RGB格式读入图片\n",
    "    img2 = Image.open(rootdir+imagelist[i]).convert(\"RGB\")\n",
    "    # 对图片进行基本的处理\n",
    "    img2 = transform1(img2)\n",
    "    img2 = transform2(img2)\n",
    "    Img_test[i-10000]=cut(img2)\n",
    "    Labels_test[i-10000]=torch.LongTensor(list(map(int,label[i-10000].split())))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 网络设计 输处一个4*4矩阵行表示对应的那一块图片，列最大为对应的位置\n",
    "\n",
    "class JigsawNet(nn.Module):\n",
    "\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        # input (4*batch)*3*100*100\n",
    "        self.pad = nn.ZeroPad2d(padding=(2, 2, 2, 2))\n",
    "        self.conv1 = nn.Sequential(\n",
    "            nn.Conv2d(3, 50, (5, 5), padding=(2, 2), stride=(2, 2)),\n",
    "            nn.BatchNorm2d(50),\n",
    "            nn.ReLU(),\n",
    "            nn.MaxPool2d(2, stride=2, padding=0)\n",
    "\n",
    "        )\n",
    "        # b=4, c=50 ,h=26,w=26\n",
    "        self.conv2 = nn.Sequential(\n",
    "            nn.Conv2d(50, 100, (5, 5), padding=(2, 2), stride=(2, 2)),\n",
    "            nn.BatchNorm2d(100),\n",
    "            nn.ReLU(),\n",
    "           \n",
    "        )\n",
    "        # b=4, c=100, h=13,w=13\n",
    "        self.conv3 = nn.Sequential(\n",
    "            nn.Conv2d(100, 100, (3, 3), padding=(2, 2), stride=(2, 2)),\n",
    "            nn.BatchNorm2d(100),\n",
    "            nn.ReLU(),\n",
    "            nn.Dropout(p=0.3),\n",
    "           \n",
    "        )\n",
    "\n",
    "        # b=4, c=100, h=8, w=8\n",
    "        self.conv4 = nn.Sequential(\n",
    "            nn.Conv2d(100, 200, (3, 3), padding=(2, 2), stride=(1, 1)),\n",
    "            nn.BatchNorm2d(200),\n",
    "            nn.ReLU(),  \n",
    "            nn.Dropout(p=0.3),\n",
    "            # 传入全连接层时进行一维化，默认从第二维开始，第一维是batch\n",
    "            nn.Flatten(start_dim=1)\n",
    "        )\n",
    "        # 4*20000\n",
    "        self.fn = nn.Sequential(\n",
    "            nn.Linear(20000, 600),\n",
    "            nn.BatchNorm1d(600),\n",
    "            nn.ReLU(),\n",
    "            nn.Linear(600, 400),\n",
    "            nn.BatchNorm1d(400),\n",
    "            nn.ReLU(),\n",
    "            nn.Dropout(p=0.3),\n",
    "            nn.Linear(400, 4),\n",
    "\n",
    "        )\n",
    "\n",
    "    def forward(self, x): \n",
    "        # reshape将batch和图片数量合并变成四维\n",
    "        x = x.reshape((-1, 3, 100, 100))\n",
    "        x = self.pad(x)\n",
    "        x = self.conv1(x)\n",
    "        x = self.conv2(x)\n",
    "        x = self.conv3(x)\n",
    "        x = self.conv4(x)\n",
    "        x = self.fn(x)\n",
    "        #x = F.log_softmax(x,dim=1)\n",
    "        return x\n",
    "   "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "再次使用继承类的方式重写dataloader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 重写dataloader的类方法将自己的数据传入\n",
    "class My_dataset(Dataset):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.x = Img\n",
    "        self.y = Labels\n",
    "        self.src,  self.trg = [], []\n",
    "        for i in range(len(Img)):\n",
    "            self.src.append(self.x[i])\n",
    "            self.trg.append(self.y[i])\n",
    "           \n",
    "    def __getitem__(self, index):\n",
    "        return self.src[index], self.trg[index]\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.src) \n",
    "        \n",
    " # 或者return len(self.trg), src和trg长度一样\n",
    " \n",
    "data_train = My_dataset()\n",
    "data_loader_train = DataLoader(data_train, batch_size=90, shuffle=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 重写dataloader的类方法将自己的数据传入\n",
    "class My_dataset2(Dataset):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.x = Img_test\n",
    "        self.y = Labels_test\n",
    "        self.src,  self.trg = [], []\n",
    "        for i in range(len(Img_test)):\n",
    "            self.src.append(self.x[i])\n",
    "            self.trg.append(self.y[i])\n",
    "           \n",
    "    def __getitem__(self, index):\n",
    "        return self.src[index], self.trg[index]\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.src) \n",
    "        \n",
    " # 或者return len(self.trg), src和trg长度一样\n",
    " \n",
    "data_test = My_dataset2()\n",
    "data_loader_test = DataLoader(data_test, batch_size=50, shuffle=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "编写训练用函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(data_loader,loss_count):\n",
    "    with notebook.tqdm(total=len(data_loader), desc=\"Epoch:{}\".format(epoch + 1), unit='g', leave=False) as pbar:\n",
    "        for i,data in enumerate(data_loader,0):\n",
    "            if use_gpu:\n",
    "                X = data[0].float().cuda()\n",
    "                Y = data[1].cuda()\n",
    "            else:\n",
    "                X = data[0].float()\n",
    "                Y = data[1]\n",
    "            optimizer.zero_grad()\n",
    "            out = model(Variable(X))\n",
    "            # 将Label 转化为4*1与out的4*4进行损失计算\n",
    "            Y = Variable(torch.flatten(Y))\n",
    "            #Y = Y.reshape(-1,1)   \n",
    "            #print(out.shape,Y.shape)\n",
    "            loss = loss_func(out,Y.long())\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "            # update the bar\n",
    "            pbar.update(1)\n",
    "            #accuracy = torch.max(out.cpu(), 1)[1].numpy() == Y.cpu().numpy()\n",
    "            accuracy = (torch.max(out,1)[1]==Y).sum()/len(Y)\n",
    "    print('epoch' + str(epoch+1) + ' accuracy:\\t', accuracy.mean())\n",
    "    loss_count.append(loss)\n",
    "    acc_count.append(accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "gc.collect()\n",
    "torch.cuda.empty_cache()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "训练模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:1:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch1 accuracy:\t tensor(0.2111, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:2:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch2 accuracy:\t tensor(0.2861, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:3:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch3 accuracy:\t tensor(0.2556, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:4:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch4 accuracy:\t tensor(0.2556, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:5:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch5 accuracy:\t tensor(0.2444, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:6:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch6 accuracy:\t tensor(0.2667, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:7:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch7 accuracy:\t tensor(0.2528, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:8:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch8 accuracy:\t tensor(0.2972, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:9:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch9 accuracy:\t tensor(0.2861, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:10:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch10 accuracy:\t tensor(0.2806, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:11:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch11 accuracy:\t tensor(0.2722, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:12:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch12 accuracy:\t tensor(0.3139, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:13:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch13 accuracy:\t tensor(0.3111, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:14:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch14 accuracy:\t tensor(0.3611, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:15:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch15 accuracy:\t tensor(0.3611, device='cuda:0')\n"
     ]
    },
    {
     "data": {
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       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:16:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch16 accuracy:\t tensor(0.4417, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:17:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch17 accuracy:\t tensor(0.4583, device='cuda:0')\n"
     ]
    },
    {
     "data": {
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       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:18:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch18 accuracy:\t tensor(0.4667, device='cuda:0')\n"
     ]
    },
    {
     "data": {
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       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:19:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch19 accuracy:\t tensor(0.5917, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:20:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch20 accuracy:\t tensor(0.6000, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:21:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch21 accuracy:\t tensor(0.6417, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:22:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch22 accuracy:\t tensor(0.6750, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:23:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch23 accuracy:\t tensor(0.7000, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:24:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch24 accuracy:\t tensor(0.7194, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:25:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch25 accuracy:\t tensor(0.7694, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:26:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch26 accuracy:\t tensor(0.8083, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:27:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch27 accuracy:\t tensor(0.8139, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:28:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch28 accuracy:\t tensor(0.8278, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:29:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch29 accuracy:\t tensor(0.8472, device='cuda:0')\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epoch:30:   0%|          | 0/100 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch30 accuracy:\t tensor(0.8556, device='cuda:0')\n"
     ]
    }
   ],
   "source": [
    "#training\n",
    "use_gpu = torch.cuda.is_available()\n",
    "torch.backends.cudnn.enabled = True\n",
    "torch.backends.cudnn.benchmark = True\n",
    "model = JigsawNet()\n",
    "if use_gpu:\n",
    "    model.cuda()\n",
    "# 清理内存\n",
    "gc.collect()\n",
    "torch.cuda.empty_cache()\n",
    "loss_func = torch.nn.CrossEntropyLoss().cuda()\n",
    "optimizer = torch.optim.Adam(model.parameters(), lr=0.001)\n",
    "# 可变学习率\n",
    "#scheduler = torch.optim.lr_scheduler.StepLR(optimizer, step_size=15, gamma=0.0003)\n",
    "loss_count = []\n",
    "acc_count = []\n",
    "Epoches = 30\n",
    "for epoch in range(Epoches):\n",
    "    train(data_loader_train,loss_count)\n",
    "    #scheduler.step()\n",
    "torch.save(model.state_dict(),'./cnn_jigsaw.pth' )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hd2+rJVi7thXDff75sCNKuvffh3bt4NJLbU3LL7+0y9L23jvsyFyyBT7ZU1VPK+bx84FCJ1Q4V+G1bGkJ6+STYeBAW6TprrvY5YyCCJg3z66dnjDBelRvvQXHH2/XVLvgiUgf4FEgExilqvcUePxhbJ4BQDWgrqrWCjKmaP/GOxcFe+5p39qDB8M998BJJ0X2AuKff4YhQ6B9e/j8c3joIZg7F/r29USVLCKSCQwHjgZaA6eJSOv4Y1T1ClXtoKodgMewUzmB8mTlXDqoVAlGjIBHH4Xx46F7d1sLIyJUbcLEfvvZMN9FF9l5qSuugMqVw46uwukKLFLVxaq6GRgL9NvF8acBLwUdlCcr59KFiJ28efddmyHYtSvMnBl2VOW2bh2cfrpNnOjQAWbPhscfhzp1wo4ssrJEZHrcNrjA4w2AJXH3l8b27UREmgDNgH8FE+p2nqycSzd9+th5LFW46aawoymX//zHJk688grceSd8+CG0bl3881y55Klql7itPCXuBgCvqurWRAVXFE9WzqWjVq2sO/Lhh7aWe5rZts2WnT/kENi6FaZMsbwbQsEOt7NlQKO4+w1j+wozgCQMAYInK+fSV//+tszIhAlhR1IqK1bA0UfDdddBv342kukr+6aUaUBzEWkmIpWxhDS+4EEisj9QG7s0KXCerJxLV4ccAnvtBW++GXYkJZaTYzP9pkyx+SKvvGKXkbnUoap5wFBgAlYCb5yqzhOR20Wkb9yhA4CxsRJOgfOi+s6lq6wsu/jozTetzEOlSmFHVKQtW2DYMBv6O+AA+Oc/oc0uy1q7MKnqe8B7BfbdXOD+rcmMyXtWzqWz/v1h7VrrqqSoxYttpv1998GFF9qkCk9UrrQ8WTmXzo48EqpWTdmhwOnToUsX+PprG/IbMQKqVQs7KpeOPFk5l86qVYM//tGSVXJOHZTY1KlwxBGwxx7wxRdWMcq5svJk5Vy6698fli6FGTPCjuR3n3xinb66dW2Ect99w47IpTtPVs6lu+OOs8K2KTIUOGmSdfYaNICPPoJGjYp/jnPF8WTlXLrbay849NCUSFY5OXDMMdCsmSWq+vXDjshFhScr56Kgf38rT75oUWghvPuuzaRv2dJ6V77mlEskT1bORUG/WFHst94K5e3feANOOAHatoV//Quys0MJw0WYJyvnoqBZMysNEcJQ4LhxcMop0LmzXey7555JD8FVAJ6snIuK/v3h009h5cqkveU//gGnnQbdutn5qlq1kvbWroLxZOVcVPTvb9davf12Ut7umWfg7LOhRw/44AOoWTMpb+sqKE9WzkVF+/bQpElShgJffNEWS+zdG955B6pXD/wtXQXnycq5qBCx3tXEiZCbG9jbfP45DBpkParx4718kksOT1bORUn+Glc5OYG8/LJlNuuvfn149VWoUiWQt3FuJ56snIuS7t1tOl4AQ4EbN1ou/PVX61HVqZPwt3CuSL6elXNRkr/G1fjxCV3jShXOP98K0r75pi/x4ZLPe1bORU2/fvDLL/Dxxwl7yXvvhTFj4M47oW/f4o93LtE8WTkXNUcdZSeTEjQU+PbbcOONMGAA3HBDQl7SuVLzZOVc1FSvbgkrAWtczZsHp58OnTrB00/bhEPnwuDJyrko6t8fliyBL78s80usXm1DftWrW97zKeouTJ6snIuicq5xtWULnHqqren4xhvQsGFiw3OutAJPViIyWkRWisjcIh4XEfmbiCwSkdki0inomJyLvOxsm8ZexmR15ZVWPX3kSKv75yoWEekjIgtj38vXF3HMqSIyX0TmiciYoGNKRs/qWaDPLh4/Gmge2wYDTyQhJueir39/mDMHFi8u1dPefnsfHn8crroKBg4MJjSXukQkExiOfTe3Bk4TkdYFjmkO3AAcoqoHAJcHHVfgyUpVpwBrdnFIP+B5NVOBWiKyT9BxORd5ZVjjasoUePTR5vTpY9PVXYXUFVikqotVdTMwFvuejncBMFxVfwFQ1cBL/afCRcENgCVx95fG9i0veKCIDMZ6X2RlZTF58uQdHs/Nzd1pXzqLWnsgem1K9fZ02Xdf8p59lpkdOxb6+Jo1lZk1aw9mz67F7Nl7sHhxDRo02MCQITP5+OO8JEcbjFT/jMoi4DYV9p18UIFjWgCIyKdAJnCrqn4QVECQGsmqxFR1JDASoHr16nr44Yfv8PjkyZMpuC+dRa09EL02pXx7zjwT7ryTww84ALKz+eEH6z199JHdfv21HVa9Ohx8sFVSb9lyNscd1z3cuBMo5T+jMihnm7JEZHrc/ZGx79ZSvQZ26uZwoCEwRUTaqurasgZVkjcM2zKgUdz9hrF9zrny6t+fVbf/nWtPWMukpdl8/73t3mMPOPRQK6HUowd07Li9MtPkyZvDi9clQ56qdtnF4yX5Tl4KfK6qW4BvReRrLHlNS2ikcVIhWY0HhorIWKyruU5VdxoCdM6VQYcOPLj7bbzw2b70O8Fm+R12GLRtC5mZYQfnUtQ0oLmINMOS1ADg9ALHvAmcBjwjInWwYcHSzeQppcCTlYi8hHUV64jIUuAWoBKAqo4A3gOOARYBG4Bzg47JuQpDhJzdjqf7r5/wWsbjsKEz/NwF1nWy6uzOFaCqeSIyFJiAnY8ararzROR2YLqqjo89dpSIzAe2Ateo6uog4wo8WanqacU8rsCQoONwriJasQK+XNWIu9p+CjNm2CJU+Zo1gy5doHPn7Vvt2uEF61KGqr6HdSTi990c97MCV8a2pEiFYUDnXED++U+7PWr0AOgyANassaT1xRe2TZ8Or7yy/Qn77kv2WWdBxCYkuPTnycq5CMvJgb32sgkUgA399e5tW778BDZ9OowZQ8sHHoDBg205YOdShNcGdC6iVC1Z9e5dzGSK/AR2/fXw+utkbN5sMzGcSyGerJyLqLlz4aefbLWQEttvP74/80x4+WWYMCGw2JwrLU9WzkVUTo7dHnlk6Z73w4AB0LIlXHwxbNyY+MCcKwNPVs5FVE4OtGoFjRoVf2w8rVwZnnjCCuDedVcwwTlXSp6snIugjRutnFKphgDj9ewJZ58N990HCxYkNDbnyqLEyUpEpojI7rGfLxKRy0WkcnChOefK6pNPYNOmciQrgAcegBo14KKLbLaGcyEqTc9qD1X9n4h0xsrD1waeCiYs51x55ORA5cpW96/MsrOtZzVlCjz3XMJicxWTiHQRkeplfX5pktUWEckCzgbuVdVbgAPK+sbOueDk5NhCwdXL/NUQc955cMghcPXV8PPPCYnNVVjPY6WZABCROiJyXEmfXJpk9RgwCzgOeDu2r0Ypnu+cS4Lly2H27HIOAebLyIARI2DdOrjuugS8oKvANqnqpvw7qvozcHtJn1ziZKWqz2FV0duo6kYR2Q/4d2kidc4F7/cSS4lIVgBt2tga96NHw8cfJ+hFXQW0WESOLrCvxPMeSjXBAsiIJaqLsB7WhSV9vnMuOXJy7HRT+/YJfNGbb4amTW2yxWZf78qVySXA3SIyRkQuFZEngf+W9Mk+wcK5CNm2zZLVkUfaCF7CVKsGjz8O8+fDgw8m8IVdBdIA6A68BmQDs9l5nawi+QQL5yJk9mxYuTKBQ4Dxjj0WTjoJbr/dLhh2rnSex1Ypfk1V/wK8DPQs6ZNLk6z+hk+wcC6llbXEUok98ghkZcGQIX7tlSutpE2weB6fYOFcSsvJsfkQga3u0bAh3HknfPDBjgs5Ole8pE2w2BO4DnhERC4DVquqL0HvXIrYsMEm6wUyBBhvyBDo1AkuuwxWrQr4zVyEJG2CxVjgV2wIsBrwiYh0LVWozrnATJliE/UCT1ZZWTBqlC3a+Kc/QV5ewG/ookBVlwOdScIEi2xVvU9V31HVu4HjsfNYzrkUkJMDu+0Ghx6ahDfr2BFGjoRJk+Caa5Lwhi4KVHVr/gQLVR0OVCrpc0uzrP0aEWmrqnNib7pYRKqVNljnXDBycixRVUvW/8qzz4YvvrBJF506wVlnJemNXbqJ1QQ8AGgTd9sGqA7UKslrlCZZDQFeFZGPgTlAa0ox3uicC86yZTBvHgwcmOQ3fuABmDULBg+GAw6wpOVcHBH5DutBzQe+AhYApwEdVHVlSV+nNLMBvwI6AZOAutg09gElD9k5F5SJE+32j39M8htXqgTjxlnJjBNO8AkXESEifURkoYgsEpHrC3n8HBFZJSIzY9v5u3i5t4E1wFOqeomq/h34rTSJCkq5+KKqblbVcap6q6o+BfyrNM93zgUjJwf23hvatg3hzevWhddfhxUr4NRTfcJFmhORTGA4cDQ2gnaaiLQu5NCXVbVDbBtV1Oup6iXY9bnHiMi02PT1Ul+kV96CLEFdzeGcK6Ft26xnddRRIBJSEF262ISLyZN9wkX66wosUtXFqroZmwnerzwvqKrfq+o5wDlYub56IlLi6hVQgmQlIo+JyGAR6SYiNQvGUJo3c84l3syZttRU4FPWi3P22XDppTbh4oUXQg7G7UKWiEyP2wYXeLwBsCTu/tLYvoJOEpHZIvKqiDQqyRur6jxVPRErs3STiHxU4qBLcMwcoC1wBtBGRP4X2zcHKJi8nHNJll9iqXfvcOMAfMJFeshT1S7lfI23gZdU9TcRuRB4DuhV0ier6udAbxE5oqTPKTZZqerI+Psi0hBLXu2ACSV9I+dcMCZMsOVA6tULOxK2T7jo0sUmXEyfbpMvXDpZBsT3lBrG9v1OVVfH3R0F3FeWN1LVD0t6bKnPWanqUlV9X1XvVdUzS/t851zi5ObCp5+mwBBgvLp14Y03rPz7qafCli1hR+RKZxrQXESaiUhlbNb3+PgDRGSfuLt9senogUrkijfOuST76CPLBSmVrAA6d/YJF2lKVfOAodjI2QJgnKrOE5HbRaRv7LBLRWSeiMwCLsUmTgSqNBcFl5mI9AEeBTKBUap6T4HHG2NjnrVix1yvqu8lIzbn0llODlSpAt27hx1JIc46yypcPPqolWdK+hXLrqxi37/vFdh3c9zPNwA3JDOmwHtWJZyzPwzL3h2xLuffg47LuSjIyYEePSxhpaT774devWzCxSefhB2NS2PJGAYsyZx9BXaP/bwH8GMS4nIurf3wA3z1VQoOAcarVAleeQWaNLEJF77CsCsj0YBX+xSRk4E+qnp+7P5ZwEGqOjTumH2AHKA2Vtiwt6p+UchrDQYGA2RlZXWemF9jJiY3N5caNaKzeHHU2gPRa1OY7Xn33Xo88MD+jB49jWbN1ifsdYNoU9UlS+g0ZAib99yTGY8/ztYk/ptF7XcOytemnj17blDV6gkOKXiqGugGnIydp8q/fxbweIFjrgSuiv3cDSt4mLGr161WrZoWNGnSpJ32pbOotUc1em0Kqz3btqmeeKJq/fr2cyIF1qYPP1TNylLt00d1y5Zg3qMQUfudUy1fm4D1GvD3fhBbMoYBi52zDwwCxgGo6r+BKkCdJMTmXFrYutUqVTz6KJx00vZyfMcdF2KJpdLq1QuGD4cPPoCrrgo7GpdmkjEb8Pc5+1iSGsDOq0P+ABwBPCsirbBk5eWbXYW1ZQvMmGGr/370kc1NWLfOHmvWDI49Fg47DAak27oHgwfbibaHH4b994c//znsiFyaCDxZqWqeiOTP2c8ERmtszj4wXVXHA1cBT4nIFdhki3Ni3VXnKoytW20uwujRdqHvhg22f//9bfX4ww6zrVGJqrClsPvvh6+/hksugf32gyOPDDsilwaScp2VFj9nfz5wSDJicS7V5OXBmDHw17/CwoX2/T1okCWmQw+1pT8iJTMTXnoJDjkETjkFpk61jOzcLiQlWTnndrZ5Mzz3HNx9N3z7rdX3e+UVOPFEyIh6bZmaNeHtt6FrVzvx9vnnsNdeYUflUljU/0s4l3I2bbJ5BvvtZ6dw6tSB8ePhyy/h5JMrQKLK16QJvPkmLF1qGXrz5rAjcimsovy3cC5069fDQw/ZBImhQ6FxY5sY9/nncPzxaTSrL5G6dbOTdFOmwEUXgZ+qdkXwYUDnkuCpp+DGG22RxF697JRNjx4VNEEVdPrpNkPwjjugVSsvfOsK5cnKuYD98IN1Grp1g7fegoMPDjuiFHTrrTa75LrroHVrm5vvXBwfBnQuYE88Ybf/+IcnqiJlZMAzz0CHDtbTWrgw7IhcivFk5VyANm2yIcDjj4emTcOOJsVVq2aLNlauDP36bb8K2jk8WTkXqLFjYfVqu/7VlUCTJvDqq7BoEZx5JmzbFnZELkV4snIuIKrw2GN2CqZXr7CjSSM9esAjj8A778Att4QdjUsRPsHCuYBMnWr1/f7+d5/1V2pDhtiFZ3feaeexTjop7IhcyLxn5VxAHnsMdt/dVnd3pSRiWf4Pf4CBA2HOnLAjciHzZOVcAJYvt9JJ554LEVv3L3l22w1ee80yfv/+sGZN2BG5EHmyci4ATz5pBWqHDAk7kjRXv74t3LV0qZWez8sLOyIXEk9WziXY5s2WrI4+Gpo3DzuaCPjDH+xitX/+0y4adhWSJyvnEuy11+Cnn6z+n0uQ886zf9CHHrKrq12gRKSPiCwUkUUicv0ujjtJRFREugQdkycr5xLsscesonqfPmFHEjEPPWTT2i+4AL74IuxoIktEMoHhwNFAa+A0EWldyHE1gcuAz5MRlycr5xLoiy/g3/+2c1UVZqmPZKlUyWat1K1rEy5WrAg7oqjqCixS1cWquhkYC/Qr5Lg7gHuBTckIyv87OZdAjz8O1avbLEAXgOxsWwNr9Wq4+OKwo0lXWSIyPW4bXODxBsCSuPtLY/t+JyKdgEaq+m7Asf7OLwp2LkFWrbKlP847D/bYI+xoIqxjR1tv5S9/gY8+sqFBVxp5qlrmc0wikgE8BJyTsIhKwHtWziXIqFHw228+XT0prroKGjWCK66ArVvDjiZqlgGN4u43jO3LVxNoA0wWke+APwDjg55k4cnKuQTIy7PZ1b16wQEHhB1NBVC1Ktx7r5Vkev75sKOJmmlAcxFpJiKVgQHA+PwHVXWdqtZR1aaq2hSYCvRV1elBBuXJyrkEGD8elizx6upJNWCAXYN1443w669hRxMZqpoHDAUmAAuAcao6T0RuF5G+YcXlycq5BHjsMWjc2NatckkiYtXZf/oJ7rkn7GgiRVXfU9UWqvp/qnpXbN/Nqjq+kGMPD7pXBZ6snCu3OXNg8mSbnJaZGXY0FcxBB8EZZ8CDD8L334cdjQuQJyvnymn4cKhSBc4/P+xIKqi777aL2rwUU6R5snKuHH79NYsXXoDTT4e99go7mgqqUSO49lp4+WX49NOwo3EB8WTlXDm8/349NmzwOoChu+Yaq9B+xRWwbVvY0bgAeLJyroy2boW33mrAIYfYdaouRNWr2ySLadPgxRfDjsYFwCtYOBdn61YYNMiWpC/Oli3w449Veeih4ONyJXDGGTYt8/rr4cQTLYG5yEhKshKRPsCjQCYwSlV3mmcqIqcCtwIKzFLV05MRm3PxHnwQnnsOjj22ZCv8tm+/lBNPbBh8YK54GRk2lf2QQ+D+++HWW8OOyCVQ4Mkqrtz8kVhBxGkiMl5V58cd0xy4AThEVX8RkbpBx+VcQXPmWLm5E0+EV1+1y3iKM3nyIipV8mSVMg4+2FYUvu8+6yI3alT8c1xaSMY5q5KUm78AGK6qvwCo6sokxOXc7zZvhrPPhlq1YMSIkiUql6LuvdcmWdxwQ9iRuARKRrIqttw80AJoISKfisjU2LChc0lzxx0wcyaMHGmrULg01qQJXH21TbT4PCnrArokEFUN9g1ETgb6qOr5sftnAQep6tC4Y94BtgCnYhV+pwBtVXVtgdcaDAwGyMrK6jxx4sQd3is3N5caJTnRkCai1h5IzTbNn1+TSy7pxFFH/cR11y0s1XNTsT3lFYU2ZW7cSNczz2RTvXp8fM891KhZM+yQEqo8n1HPnj03qGr6zT5R1UA3oBswIe7+DcANBY4ZAZwbd/9D4MBdvW61atW0oEmTJu20L51FrT2qqdem9etVW7RQbdxYde3a0j8/1dqTCJFp0+jRqqDzhg0LO5KEK89nBKzXgL/3g9iSMQy4y3LzMW8ChwOISB1sWHBxEmJzFdwNN8DXX8Mzz/iCiZEzcCB07Mi+I0fCzz+HHY0rp8CTlZas3PwEYLWIzAcmAdeo6uqgY3MV27/+BX/7my3r0atX2NG4hMvIgBEjqLR2rV2LkJsbdkSuHJJSwUKLKTcf651eqaqtVbWtqo5NRlyu4lq3Ds49F1q08NUlIq1rV+bffDN88YVdk7B5c9gRuTLyckuuQrr8cli61C4ArlYt7GhckFYfcgg89RRMnGjXJ3jtwLTk5ZZchTN+PDz7LNx0ky006yqAc8+FVatsGZHsbBv/9Yvp0oonK1ehrFoFF1wAHTrAzTeHHY1LqmuugZUrraZW3bpWrsSlDU9WrsJQhYsugrVr4Z//hMqVw47IJZWIlWH6+Wf7SyU7234hXFrwZOXS2ty5sGiRfe9kZ0OdOlYyKaOQs7Evvgivv24TKtq2TXqoLhVkZNj5q9Wr4eKL7Rfm5JPDjsqVgCcrl7Y+/RR69rSlOuJlZtp3UH7yyk9kL75odU6vvjqceF2KqFTJVhU+6ihbVqR2bTjiiLCjcsXwZOXS0g8/2EzkJk3g+efhf/+z81GrVtkoT/7Pq1bB7Nl2W6uWzf7LzAw7ehe6atXg7bfhsMOgf3+YNAm6dAk7qpRR3LJOInIRMATYCuQCgzVuJY0geLJyaWfDBvt+2bgRJk+GVq3Cjsilpdq1YcIE624ffbR11Vu0CDuq0JVkWSdgjKqOiB3fF3gICLQAuV9n5dKKqs1CnjkTXnrJE5Urp/r1ISfHJl8cdRRMn27LRVdsxS7rpKr/i7tbHVs0N1Des3KFWrbMhsvq1Qs7kh399a8wbpwtWXTssWFH4yKhRQt4/307AXrggbD77rba8KGH2jBhly6w225hR5lMhS3rdFDBg0RkCHAlUBkIvGCZJyu3k2+/hU6drCTRwQfDSSfZ1rhxuHG9+SYMGwZnnmmXzDiXMJ07W0XjDz+EKVPg448tgQFUqQJdu25PXt26QXovOZIlItPj7o9U1ZGlfRFVHQ4MF5HTgWHAwEQFWBgfBnQ72LRp+0zem26CX3+FK6+0iQxdu1qPZtGi5Mc1Z44lqa5dbeaxFx9wCVevns0OfPJJmD/fLiB+4w3485/tROk998Af/2jnunr2hCVLin/N1JSnql3itoKJahnQKO5+w9i+oowF+ic4xp14snI7uPRSmDEDXnjBVs+dNQu++WZ7sdfrr4fmzaF9e7j9dpg3z84jBennn6FvXxudeeMN+0PXucBlZ9tMnocegmnT4Jdf7PzWDTfYf5KDD7akFj3FLuskIs3j7h4LfBN0UJ6sduHKK613UVHOtz73nPVabrgBjjtu+/799rOSav/5D3z3nf3frVkTbr0V2rSxIf+TT7aiAGPHWoLbtCkxMW3ZYq+9fLkNA9avn5jXda7UataEI4+0v+I++gjy8qB7d5tFGCElXNZpqIjME5GZ2HmrQIcAwc9ZFWnmTHj4Yfv566+tpxHlv+hnz7bKMz17Wo+pKE2awBVX2LZ8ufV0cnLs+W+8sb2gdUYGNGsGrVvbjL3WrW377bfS/X102WX2vfDCCzYE6FxK6NABPvvMhgV797aLjPv2LfZp6UJV3wPeK7Dv5rifL0t2TJ6sivDAA1CjBlx7rfUYVqyAt96y4eqoWbfOJlDUrm3TwbNK+Fuxzz5Wsebii+3+pk02ZDh/vm0LFtjtBx9srzKRldWdgw6CHj3sXPXBBxd9rvqJJ2y79lo7X+VcSmnWzHpVxx4LJ5xg57rOPz/sqCLLk1Uhliyx4axLL7XCzM2b2zI4hx5qE4QaNSr+NdKFKpxzjs0AnDwZ9t677K9VpYrV3CtYdy8vD/77Xzu/NW7cUr77rjH33mvT0DMzbebhYYdZAuve3ZLmpEn273/ssXaccykpO9uWnD7lFCvn/9NPdu7AZwAlnCerQjzyiN1efrndDhhgKwqccILNWv3gAztXEwUPPmjngh580BJFELKyoGVL2/bcczGHH96Y3Fz4979tlvCUKfD44xaDCLRrZ+WUmjeHMWO8PJJLcTVq2CJp559vf90uX27rZfkvbkJ5sipg7VoYORL+9Kcdryvq1cu+VI8+2r7U33rLegLpbMoUm9130kl2DiqZatSwc9VHHmn3N22yCRz5yWvLFkuiu++e3LicK5NKlWxFz3r1bBmSFSvgH/+I9onuJPNkVcCTT0JubuEXnbZvb72BPn2sMsuLL4a/usDChXZOJyMDBg+2uEryB91PP1lC3ndfGD06/FGLKlVsKPCww8KNw7kyE7ELEffZx/76+/ln+6t2jz3CjiwSfOp6nM2b4dFHbXJPhw6FH9OkiZ1T7dIFTj0VHnssqSH+bssWu/apfXvriXz2GRxzjE0zv/tu+8OuKHl5NrS5bh289pr3XpxLqMsvt/Hrzz6zv75+/DHsiCLBk1WcMWNsuLm4Uj577mkrzfbrZ5MArrtu+5TtZPjySzjoILse6thjbcbdkiU2e7ZZM7jxRpsE8qc/2USFghftDhtm08FHjPBFCJ0LxGmnwbvvwuLFdmHxb7+FHVHa82HAGFWbrt6u3fbzKLtStSq8+ipccokNUX/zjSWQkmjZ0i7PqFq1dDFu2mTXI957ry0q+Oqrdr4p36mn2vbVV3be7dlnrehrixZ2DdXAgfDJJ/b8wYNthqNzLiBHHmmLrZ14ov0F/Le/hR1RWvNkFfP++za1+vnnS37+JjMThg+Hhg3hllvsotiSql7dhu1OOslui6uL+emnMGiQnaMaONCqSOy5Z+HH7r+/PX7XXfDKK9aDuvJK64llZVnNzkcfLXmszrkyOuEEO3/18MN27cspp4QdUdryYcCY+++3pDNgQOmeJ2LDbuvXW63L4rbcXJg40S5y/egje7/sbBtSfP55Kz8WLzfXhhoPPdR6Vh98YD2mohJVvKpVrff02WdWAmnQIKsm8eqrPknJuaS55x74wx/sP+A3gZfQiyzvWWHrrU2ebMOAlSqV7TUqVy75sb172zZ8uPWYXnsNXn/dLtXIyoIjjrAe14oVdRg40M5HDR1qF8fWqFG2+Nq1s/dzziVZ5cp2QrljR5s+PHVq6c8BOO9ZgSWp3Xe3C9CTKTPTJgs9+ih8/739Dl9xhf3xNXgw/OUvbaha1ZbW+dvfyp6onHMha9zYClzOnm1DJa7UKnyy+vZbO69z4YXhTuHOyLAJGvfdZ+tFzZgBw4bNZ+ZMW7TUOZfmjjnGThyPGmVj/q5UKnyyevhh6+FclvQawkUTsRGDI45Y6eeWnIuS22+34ZQ//9lmdLkSq9DJas0aePppOP10aNAg7Gicc5GXlWVVsmvUsJmBublhR5Q2kpKsRKSPiCwUkUUicv0ujjtJRFREuiQjrieesBl6V1+djHdzzjmsHNNLL9kFkRddFPxS2xEReLISkUxgOHA00Bo4TURaF3JcTeAy4POgYwKbBv7YY1aYNioV1J1zaaJXL7jtNisw+tRTYUeTFpLRs+oKLFLVxaq6GRgL9CvkuDuAe4EELYi+ay+8YPXzvFflnAvFTTdZ5elLL7Uaam6XRAPugorIyUAfVT0/dv8s4CBVHRp3TCfgJlU9SUQmA1er6vRCXmswMBggKyur88SJE3d4PDc3lxolmN+9bRucc05XqlTZypNPfhF6xfGilLQ96SRqbYpaeyB6bUrl9lRau5YuF1zAtsqVmf7kk2wtYZzlaVPPnj03qGr1Mj05TKoa6AacDIyKu38W8Hjc/QxgMtA0dn8y0KW4161WrZoWNGnSpJ32Featt1RB9aWXSnR4aErannQStTZFrT2q0WtTyrfn449VMzNVjzpK9eWXVWfPVt20aZdPKU+bgPUa8Pd+EFsyKlgsA+IXgm8Y25evJtAGmCzWxakHjBeRvlpI7yoR7r/flvoIey0q55yje3e7hubyyyEnx/ZlZNhic61a7bxV0DV9kpGspgHNRaQZlqQGAKfnP6iq64A6+fd3NQyYCFOnWuXxRx6xWaTOORe6Sy6B88+3StULFuy4ffCBLWCXr359GvbrB4cfHlq4YQj861pV80RkKDAByARGq+o8EbkdmK6q44OOYcd4bHmOQYOS+a7OOVeMqlVt1deCK7/m5dm6WPPn/57ANu+1V6ChiEgf4FHsO3uUqt5T4PErgfOBPGAVcJ6qfh9kTEnpW6jqe8B7BfbdXMSxhwcZS7du9oeKc86lhawsW5SuRQtbyBFYOXkyO13/kyBxlxsdCSwFponIeFWdH3fYl9jcgg0i8mfgPuBPAYUEVPAKFs4553ZS7OVGqjpJVTfE7k7F5iIEypOVc85VLFkiMj1uG1zg8QbAkrj7S2P7ijIIeD/RQRbkUwycc65iyVPVhJS0E5EzgS5Aj0S83q54snLOORevuMuNABCR3sBNQA9V/S3ooHwY0DnnXLzfLzcSkcrY5UY7zNoWkY7Ak0BfVV2ZjKA8WTnnnPudquYB+ZcbLQDG5V9uJCJ9Y4fdD9QAXhGRmSIS+CVIPgzonHNuB8VdbqSqvZMdk/esnHPOpbzAq64HRUS2ARsL7M7CrqiOiqi1B6LXpqi1B6LXpqi1B8rXpqqqmnYdlbRNVoURkemJmpKZCqLWHohem6LWHohem6LWHohmm4qTdtnVOedcxePJyjnnXMqLWrIaGXYACRa19kD02hS19kD02hS19kA027RLkTpn5ZxzLpqi1rNyzjkXQZ6snHPOpbxIJCsR6SMiC0VkkYhcH3Y8iSAi34nInFgpk+lhx1MWIjJaRFaKyNy4fXuKyEQR+SZ2WzvMGEujiPbcKiLLYp/TTBE5JswYS0NEGonIJBGZLyLzROSy2P50/oyKalNafk4iUkVE/iMis2LtuS22v5mIfB77zns5VsMv0tL+nFVsVcuviVvVEjitwKqWaUdEvsNW4vw57FjKSkQOA3KB51W1TWzffcAaVb0n9odFbVW9Lsw4S6qI9twK5KrqA2HGVhYisg+wj6rOEJGawBdAf+Ac0vczKqpNp5KGn5OICFBdVXNFpBLwCXAZcCXwuqqOFZERwCxVfSLMWIMWhZ5VsataunCo6hRgTYHd/YDnYj8/h32RpIUi2pO2VHW5qs6I/fwrVrS0Aen9GRXVprSkJjd2t1JsU6AX8Gpsf1p9RmUVhWRV2lUt04UCOSLyRSEreaazvVV1eeznn4C9wwwmQYaKyOzYMGHaDJnFE5GmQEfgcyLyGRVoE6Tp5yQimSIyE1gJTAT+C6yNVUeH6Hzn7VIUklVUdVfVTsDRwJDYEFSkqI1Bp/c4NDwB/B/QAVgOPBhqNGUgIjWA14DLVfV/8Y+l62dUSJvS9nNS1a2q2gFbBLErsH+4EYUjCsmqRKtaphtVXRa7XQm8gf2SRsGK2HmF/PMLSVm4LSiquiL2ZbINeIo0+5xi50FeA15U1ddju9P6MyqsTen+OQGo6lpgEtANqCUi+Us8ReI7rzhRSFbFrmqZbkSkeuzkMCJSHTgKmLvrZ6WN8cDA2M8DgbdCjKXc8r/UY04gjT6n2Mn7p4EFqvpQ3ENp+xkV1aZ0/ZxEJFtEasV+ropNJFuAJa2TY4el1WdUVmk/GxAgNg31ESATGK2qd4UbUfmIyL5YbwpsKYAx6dgmEXkJOByoA6wAbgHeBMYBjYHvgVNVNS0mLRTRnsOxoSUFvgMujDvfk9JEpDvwMTAH2BbbfSN2jiddP6Oi2nQaafg5iUg7bAJFJta5GKeqt8e+I8YCewJfAmeq6m/hRRq8SCQr55xz0RaFYUDnnHMR58nKOedcyvNk5ZxzLuV5snLOOZfyPFk555xLeZ6snHPOpTxPVs4551KeJyvnABG5UESWx613NFNE2ibw9Y8QkRcS9XrOVTRZxR/iXIXQFhimqk8H9PrtsUoDzrky8J6Vc6YdMLPgThF5KbYS639E5HsROTa2f38R+VesB/ZPEakT219fRF4TkS9F5CsRyS+Y2h6oJyJTROQHEekdO76ZiLwlItNj79Eytn9gbHmY2SLySTL+AZxLZZ6snDMHAM/EDQHmryHWHlisql2BM4BbRGQ3rKr3lbGlGyYCV8SqYL8PPKOqHYFOWNHR/NdZpaqHYSu9nhGrDj4q9jpdgFuB62NFjK8DuqlqO+C4oBvvXKrzYUBX4YlIIyyRtCuwvwqQDdwW2zUfqI2tyvqJqs6M2983tn+Bqr4DoKobYq9TCdiL7WsoVQLWxo4/AHjNioWThRVh3QpUBR4UkedUdXoCm+tcWvJk5Zydr1pQyP42wDequil2vxMwC2iNVfWOf/58rKr31EJepxUwK7aWEtiQ41yst3VTYefJRKQNcDwwUkRGqerfS9so56LEhwGds+TxVSH72wONRaRKbF2x24CHsYXuWsPvy7mcBTyPLQF/QP6TRSQ77nVmFXi/2diKtX8UkYzY8W3FNFfV9ao6FngHqJKwljqXprxn5Zz1jHqIyNGx+wociiWZ17H1nSoBf1XVT0VkBnCMiMwBNgLnqepqEXkWGCMi84AtwM3YQobtsUVC87XBelZzgZ7AAhHZCMxV1TNF5CYR6QasB+YBFwTYdufSgq9n5VwRROQjYLCqLgw7FucqOk9WzhVBRJYCjePONTnnQuLJyjnnXMrzCRbOOedSnicr55xzKc+TlXPOuZTnyco551zK82TlnHMu5Xmycs45l/I8WTnnnEt5/w/QsMcRI+Bg0AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制loss和acc图\n",
    "fig, ax1 = plt.subplots()\n",
    "ax2 = ax1.twinx()  \n",
    "ax1.plot(range(1,Epoches+1),loss_count,c='r')\n",
    "ax1.set_xlabel('$Epoches$')\n",
    "ax1.set_ylabel('$Loss$')\n",
    "ax1.grid()\n",
    "ax2.plot(range(1,Epoches+1), acc_count, color='b')\n",
    "ax2.set_ylabel('$Acc$')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "进行一下测试集的测试"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/20 [00:00<?, ?g/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'accuracy')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc = []\n",
    "mean_acc=0\n",
    "def test(batch_size):\n",
    "    testnet = JigsawNet()\n",
    "    testnet.load_state_dict(torch.load('./cnn_jigsaw.pth'))\n",
    "    testnet.eval()\n",
    "    testnet.apply(fix_bn)\n",
    "    if use_gpu:\n",
    "        testnet.cuda()\n",
    "    with notebook.tqdm(total=len(data_loader_test), unit='g', leave=False) as pbar:\n",
    "        \n",
    "        for i,data in enumerate(data_loader_test,0):\n",
    "            if use_gpu:\n",
    "                x = data[0].float().cuda()\n",
    "                #print(type(data[0]))\n",
    "                y = data[1].cuda()\n",
    "            else:\n",
    "                x = data[0].float()\n",
    "                \n",
    "                y = data[1]\n",
    "            pre = testnet(Variable(x))\n",
    "            # 更改标签值维度，和网络输出匹配\n",
    "            y = Variable(torch.flatten(y))\n",
    "            pbar.update(1)\n",
    "            accuracy = torch.max(pre.cpu(), 1)[1].numpy() == y.cpu().numpy()\n",
    "            acc.append(accuracy.mean())\n",
    "            #accuracy = (torch.max(pre,1)[1]==y).sum()/len(y)\n",
    "            #print('Batch:{}, Acc:{}'.format(i,accuracy.mean()))\n",
    "# 冻结bn层   \n",
    "def fix_bn(m):\n",
    "    classname = m.__class__.__name__\n",
    "    if classname.find('BatchNorm') != -1:\n",
    "        m.eval()\n",
    "        \n",
    "\n",
    "# 测试集测试\n",
    "test(50)\n",
    "# 计算acc均值并画图\n",
    "mean_acc=np.array(acc).sum()/20\n",
    "mean_acc=np.ones(20)*mean_acc\n",
    "b = np.arange(0,20)\n",
    "plt.plot(b,acc)\n",
    "plt.plot(b,mean_acc,c='r')\n",
    "plt.grid()\n",
    "plt.xlabel('batches')\n",
    "plt.ylabel('accuracy')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 总结  \n",
    "这篇报告所涉及的问题进一步拓展了CNN网络的另一个应用，即学习输出的不变性。在解决这个问题的过程中，我查阅了许多资料，主要希望可以找到描述图片位置的方法，本质上是对数据模型的建立。这个过程中对于数据的处理出现了很多问题，就比如我调整了好几次分割图片的位置，一开始并不确定应当先卷积分块的图片还是先卷积整张图片，后面经过分析发现应当卷积分块图片，因为标签对应的是每个图片的位置信息。像这样的构建问题还有很多，总之在这个项目是确实花费了很大功夫，因为这不是一个普通的CNN问题，在解决过程中也涉及到很多数学知识的运用。最终我构建的模型在经过9000张图片图片的训练后训练的正确率达到了85，56% ，并不是很好的结果，对于batch_size 、learn rate等参数还缺乏优化，受限于计算机算力，我的GPU显存不支持我进行更多的参数调试，在现有条件下我已经尽力对这个问题做了最大的努力。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  },
  "main_language": "python",
  "vscode": {
   "interpreter": {
    "hash": "e493fda9cc8926f25ba9fad514dad2b0cb451ea0b81fddc4e4958c171d4e7f04"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
